Projects

This porfolio includes openly available research publications and software where I was a leading author, along with works, software, and tools I have contributed to or designed in collaboration with other teams.

GAMBLR.data: R package with a collection of genomics data

LCR-modules: reproducible workflows to analyze massive genomic datasets

GAMBLR.predict: machine learning models for classification of B-cell lymphomas

lymphgenerator: Python module to facilitate analysis of mutational signatures

MAFKleanup: machine learning algorithm to remove noise from variant calls in tumors without consitutional DNA sample

Genetic subdivisions of follicular lymphoma defined by distinct coding and noncoding mutation patterns

MIRAGE: Minimal information for reporting a genomics experiment

Genetic subgroups inform on pathobiology in adult and pediatric Burkitt lymphoma

GAMBLR.viz: R package to visualize genomic datasets